Triple
T11846562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rybinsk |
E281792
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Ust-Sheksna
Ust-Sheksna is the former historical name of the Russian town now known as Rybinsk, an important port city on the Volga River.
|
E949342
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ust-Sheksna | Statement: [Rybinsk, historicalName, Ust-Sheksna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ust-Sheksna Context triple: [Rybinsk, historicalName, Ust-Sheksna]
-
A.
Usolye-Sibirskoye
Usolye-Sibirskoye is an industrial city in southeastern Siberia, Russia, situated on the Angara River within Irkutsk Oblast.
-
B.
Ust-Izhora
Ust-Izhora is a settlement in the Leningrad Oblast of Russia located at the confluence of the Izhora and Neva rivers, historically notable as a strategic and trading point.
-
C.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
D.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
E.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ust-Sheksna Triple: [Rybinsk, historicalName, Ust-Sheksna]
Generated description
Ust-Sheksna is the former historical name of the Russian town now known as Rybinsk, an important port city on the Volga River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ust-Sheksna Target entity description: Ust-Sheksna is the former historical name of the Russian town now known as Rybinsk, an important port city on the Volga River.
-
A.
Usolye-Sibirskoye
Usolye-Sibirskoye is an industrial city in southeastern Siberia, Russia, situated on the Angara River within Irkutsk Oblast.
-
B.
Ust-Izhora
Ust-Izhora is a settlement in the Leningrad Oblast of Russia located at the confluence of the Izhora and Neva rivers, historically notable as a strategic and trading point.
-
C.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
D.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
E.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65b5ff08190bb58361f6a6acdca |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167a876048190aeeeccebae9e46ad |
completed | April 29, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69f17005c318819090e54bc64d135477 |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17814de1881908973af026af5d1d1 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.